Evidence map›Paper›PMID 26852277›Full record

Trial reportBritish journal of clinical pharmacology2016

Pooled population pharmacokinetic model of imipenem in plasma and the lung epithelial lining fluid.

J G Coen van Hasselt, Matthew L Rizk, Mallika Lala, Cynthia Chavez-Eng, Sandra A G Visser, Thomas Kerbusch, Meindert Danhof, Gauri Rao, Piet H van der Graaf

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in British journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  9. Observational
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  15. CarbapenemsHeliyon · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

J G Coen van HasseltDivision of Pharmacology, Cluster Systems Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Matthew L RizkMerck & Co. Inc., Kenilworth, New Jersey, USA.
Mallika LalaMerck & Co. Inc., Kenilworth, New Jersey, USA.
Cynthia Chavez-EngMerck & Co. Inc., Kenilworth, New Jersey, USA.
Sandra A G VisserMerck & Co. Inc., Kenilworth, New Jersey, USA.
Thomas KerbuschQuantitative Solutions BV, Oss, The Netherlands.
Meindert DanhofDivision of Pharmacology, Cluster Systems Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Gauri RaoUniversity at Buffalo, Buffalo, New York, USA.
Piet H van der GraafDivision of Pharmacology, Cluster Systems Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Merck & Co., Inc., Rahway, NJ, USA (United States) · USLeiden University · NLCentre for Human Drug Research · NLQuantitative BioSciences · USUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSeveral clinical trials have confirmed the therapeutic benefit of imipenem for treatment of lung infections. There is however no knowledge of the penetration of imipenem into the lung epithelial lining fluid (ELF), the site of action relevant for lung infections. Furthermore, although the plasma pharmacokinetics (PK) of imipenem has been widely studied, most studies have been based on selected patient groups. The aim of this analysis was to characterize imipenem plasma PK across populations and to quantify imipenem ELF penetration.

methodsA population model for imipenem plasma PK was developed using data obtained from healthy volunteers, elderly subjects and subjects with renal impairment, in order to identify predictors for inter-individual variability (IIV) of imipenem PK. Subsequently, a clinical study which measured plasma and ELF concentrations of imipenem was included in order to quantify lung penetration.

resultsA two compartmental model best described the plasma PK of imipenem. Creatinine clearance and body weight were included as subject characteristics predictive for IIV on clearance. Typical estimates for clearance, central and peripheral volume, and inter-compartmental clearance were 11.5 l h(-1) , 9.37 l, 6.41 l, 13.7 l h(-1) , respectively (relative standard error (RSE) <8%). The distribution of imipenem into ELF was described using a time-independent penetration coefficient of 0.44 (RSE 14%).

conclusionThe identified lung penetration coefficient confirms the clinical relevance of imipenem for treatment of lung infections, while the population PK model provided insights into predictors of IIV for imipenem PK and may be of relevance to support dose optimization in various subject groups.

Indexed as

AdolescentAdultAgedBronchoalveolar Lavage FluidFemaleHealthy VolunteersHumansImipenemLungMaleMeta-Analysis as TopicMiddle AgedModels, BiologicalRenal InsufficiencyYoung AdultImipenemantibioticsepithelial lining fluidimipenemlungpharmacokinetics

Identifiers

PMID26852277
PMCPMC4876184
OpenAlexW2343651795

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.